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- Tasks: Tackle complex data engineering challenges and build robust data pipelines.
- Company: Join a leading hedge fund with a strong growth trajectory.
- Benefits: Competitive salary, potential bonuses, flexible tech stack, and career advancement.
- Other info: Dynamic team environment with opportunities to learn new technologies.
- Why this job: Be at the forefront of technology in finance and make a real impact.
- Qualifications: Strong academic background and some experience in data-heavy roles.
The predicted salary is between 120000 - 200000 £ per year.
Big tech is fragile and career outlook right now is very uncertain. What about working at a hedge fund where their growth is almost certain? This data engineering team hired multiple people last year – most from big-tech – and plan to do the same this year.
A large portion of your work will technically be non-finance, with the main finance focused work completed by other teams. The real-world, complex data engineering problems are all yours. You’ll be joining a team that builds and has built thousands of ingestion pipelines, with data coming from every single potential avenue it possibly can. To get the best understanding of an investment, all data points are considered.
You’ll bring the data into the business, build the data infrastructure around it and deliver the data to the right person in the business to build their investment models. Tech is also completely flexible. Most of the work is done within Python, C# and Scala with a range of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more.
You’ll need to come from a strong academic background with some commercial experience in a data heavy software or data engineering role. Financial experience of some kind would be a huge plus, but absolutely not a requirement. Experience with as much of the tech stack above is preferred and most likely, but you don’t need experience with all. Picking up new tech will be part of your job.
This is a $60 billion plus fund, where being at the cutting edge of technology in general, let alone finance, is key for them. With this amount of ambition, it’s why their bonuses can be some of the biggest in the industry. First year total compensation could be as high as £200,000 and this has the potential to get better year on year, based on your performance.
Data Engineer - TC employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - TC
✨Tip Number 1
Network like a pro! Reach out to current employees at the hedge fund or similar companies on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data engineering projects. Whether it's ingestion pipelines or using tools like Airflow and Spark, having tangible examples will make you stand out in interviews.
✨Tip Number 3
Stay updated with tech trends! Brush up on the latest in Python, C#, and Scala, and get familiar with Snowflake, Docker, and Kubernetes. Being knowledgeable about the tech stack will show you're ready to hit the ground running.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Data Engineer - TC
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in Python, C#, and Scala. We want to see how you’ve tackled complex data engineering problems before, so don’t hold back on sharing your experiences!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Engineer role. We love seeing candidates who take the initiative to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role. Avoid fluff and get straight to the good stuff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Saragossa
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially Python, C#, Scala, and Snowflake. Brush up on your knowledge of ETL and ELT processes, as well as tools like Airflow and Spark. Being able to discuss how you've used these technologies in past projects will show that you're ready to tackle the complex data engineering problems they'll throw your way.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples of how you've solved real-world data challenges in previous roles. Think about the ingestion pipelines you've built or optimised and be ready to explain your thought process. This will demonstrate your ability to handle the kind of work this hedge fund is focused on.
✨Understand the Business Context
Even though the role is technical, having a grasp of how data impacts investment decisions can set you apart. Research the hedge fund's approach to data and investments, and be prepared to discuss how your work as a Data Engineer can contribute to their success. This shows that you’re not just a techie but also understand the bigger picture.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the role and the company. Ask about the team’s current projects, the challenges they face, or how they see technology evolving in their operations. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.